Search results for "Endocrine Disorders"

showing 10 items of 42 documents

Long-term variations of arterial stiffness in patients with obesity and obstructive sleep apnea treated with continuous positive airway pressure

2020

BackgroundObstructive sleep apnea (OSA) is associated with cardiovascular co-morbidities and mortality. Arterial stiffness is an independent predictor of cardiovascular risk and mortality, and is influenced by the presence of OSA and related comorbidities. There is a paucity of data regarding long-term evolution of arterial stiffness in CPAP-treated OSA patients. We aimed to prospectively study long term PWV variations and determinants of PWV deterioration.MethodsIn a prospective obese OSA cohort, at time of diagnosis and after several years of follow-up we collected arterial stiffness measured by carotid-femoral pulse wave velocity (PWV), clinical and metabolic parameters, and CPAP adheren…

MalePulmonologyApneaPhysiologymedicine.medical_treatmentBlood PressurePolysomnography030204 cardiovascular system & hematologyVascular Medicine[SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tractStiffnessCohort StudiesMedical ConditionsMathematical and Statistical TechniquesEndocrinology0302 clinical medicineRisk FactorsMedicine and Health SciencesContinuous positive airway pressurePulse wave velocitySleep Apnea Obstructiveeducation.field_of_studyMultidisciplinaryContinuous Positive Airway Pressuremedicine.diagnostic_testPharmaceuticsStatisticsQlongitudinal studyRSleep apneaBlood Pressure Monitoring AmbulatoryMiddle Aged[SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system3. Good healthCardiovascular TherapyNeurologyPhysiological ParametersCardiovascular DiseasesPhysical SciencesHypertensioncardiovascular systemCardiologysleep disordered breathing.MedicineFemaleResearch Articlecirculatory and respiratory physiologymedicine.medical_specialtySleep ApneaEndocrine Disorderspulse wave velocityPolysomnographyScienceMaterials ScienceMaterial PropertiesPopulationSettore MED/10 - Malattie Dell'Apparato RespiratorioResearch and Analysis MethodsRespiratory Disorders03 medical and health sciencesVascular StiffnessDrug Therapy[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemInternal medicineDiabetes MellitusmedicineMechanical PropertiesHumansObesityStatistical Methodseducationbusiness.industryBody WeightBiology and Life Sciencesmedicine.diseaserespiratory tract diseasesObstructive sleep apneaBlood pressure030228 respiratory systemMetabolic DisordersMultivariate AnalysisArterial stiffness[SDV.MHEP.PSR] Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tractSleep DisordersbusinessMathematicsPLOS ONE
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Development of a universal short patient satisfaction questionnaire on the basis of SERVQUAL: Psychometric analyses with data of diabetes and stroke …

2019

ObjectiveA short questionnaire which can be applied for assessing patient satisfaction in different contexts and different countries is to be developed.MethodsSix items addressing tangibles, reliability, responsiveness, assurance, empathy, and communication were analysed. The first five items stem from SERVQUAL (SERVice QUALity), the last stems from the discussion about SERVQUAL. The analyses were performed with data from 12 surveys conducted in six different countries (England, Finland, Germany, Greece, the Netherlands, Spain) covering two different conditions (type 2 diabetes, stroke). Sample sizes for included participants are 247 in England, 160 in Finland, 231 in Germany, 152 in Greece…

MaleQuestionnairesHealth Care ProvidersCARE QUALITYSocial SciencesCOMMUNICATIONSurveysEndocrinologyMathematical and Statistical TechniquesSurveys and QuestionnairesMedicine and Health SciencesPsychologyAssesSCALELanguageAged 80 and overMammalsOUTPATIENTStatisticsQREukaryotafood and beveragesMiddle Aged3142 Public health care science environmental and occupational healthEuropeStrokePatient SatisfactionResearch DesignVertebratesPhysical SciencesRegression AnalysisMedicineFemaleResearch ArticleAdultPsychometricsEndocrine DisordersScienceEquinesCONSUMER PERCEPTIONSResearch and Analysis MethodsVALIDATIONSERVICE QUALITYSDG 3 - Good Health and Well-beingDiabetes MellitusHumansAnimalsStatistical MethodsAgedSurvey ResearchfungiOrganismsCognitive PsychologyBiology and Life SciencesHealth Care3141 Health care scienceDiabetes Mellitus Type 2Metabolic DisordersAmniotesCognitive ScienceMathematicsNeurosciencePLoS ONE
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One simple claudication question as first step in Peripheral Arterial Disease (PAD) screening: A meta-analysis of the association with reduced Ankle …

2019

Purpose and methods A meta-analysis using data from seven German population-based cohorts was performed by the German Epidemiological consortium of Peripheral Arterial Disease (GEPArD) to investigate whether one question about claudication is more efficient for PAD screening than established questionnaires. Claudication was defined on the basis of the answer to one question asking for pain in the leg during normal walking. This simple question was compared with established questionnaires, including the Edinburgh questionnaire. The associations of claudication with continuous ABI values and decreased ABI were analyzed by linear and logistic regression analysis, respectively. The results of t…

MaleQuestionnairesMedical DoctorsPhysiologyHealth Care ProvidersMedizinWalking030204 cardiovascular system & hematologyLogistic regressionVascular MedicineMathematical and Statistical TechniquesEndocrinology0302 clinical medicineSurveys and QuestionnairesEpidemiologyMedicine and Health SciencesMass ScreeningMedicineMedical Personnel030212 general & internal medicineMultidisciplinaryStatisticsQRMetaanalysisProfessionsmedicine.anatomical_structureResearch DesignMeta-analysisPhysical SciencesMedicineFemalemedicine.symptomResearch Articlemedicine.medical_specialtySilverEndocrine DisordersDeath RatesScienceResearch and Analysis MethodsSensitivity and SpecificityOddsPeripheral Arterial Disease03 medical and health sciencesSex FactorsPopulation MetricsGeneral PractitionersPhysiciansDiabetes mellitusInternal medicineDiabetes MellitusHumansAnkle Brachial IndexVascular Diseasesddc:610Statistical MethodsSurvey ResearchPopulation BiologyBiological Locomotionbusiness.industryBiology and Life SciencesOdds ratioIntermittent Claudicationmedicine.diseaseHealth CarePeripheral Vascular DiseaseMetabolic DisordersPeople and PlacesPopulation GroupingsAnklebusinessClaudicationMathematics
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Changes in disease burden in Poland between 1990-2017 in comparison with other Central European countries: A systematic analysis for the Global Burde…

2020

Background Systematic collection of mortality/morbidity data over time is crucial for monitoring trends in population health, developing health policies, assessing the impact of health programs. In Poland, a comprehensive analysis describing trends in disease burden for major conditions has never been published. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides data on the burden of over 300 diseases in 195 countries since 1990. We used the GBD database to undertake an assessment of disease burden in Poland, evaluate changes in population health between 1990–2017, and compare Poland with other Central European (CE) countries. Methods The results of GBD 2017 for …

MaleSystems AnalysisPulmonology030204 cardiovascular system & hematologyGlobal HealthPathology and Laboratory MedicineGeographical locationsGlobal Burden of DiseaseSelf Harm0302 clinical medicineEndocrinologySex factorsRisk FactorsGlobal healthMedicine and Health SciencesMedicinePublic and Occupational Health030212 general & internal medicineChild2. Zero hungerAged 80 and overMultidisciplinaryOrganic CompoundsQ1. No povertyRMiddle Aged3. Good healthEuropeChemistryChild PreschoolPhysical SciencesMedicineFemaleQuality-Adjusted Life YearsResearch ArticleBurden of diseaseAdultCross-Cultural ComparisonAdolescentEndocrine DisordersChronic Obstructive Pulmonary DiseaseScienceLower Back PainMEDLINEPainPopulation health03 medical and health sciencesYoung AdultSigns and SymptomsLife ExpectancySex FactorsDiagnostic MedicineEnvironmental healthburden of disease Poland epidemiologyMental Health and PsychiatryDiabetes MellitusHumansEuropean UnionDisease burdenAgedbusiness.industryMortality PrematureOrganic ChemistryChemical CompoundsInfant NewbornInfantQuality-adjusted life yearAlcoholsMetabolic DisordersPolandPeople and placesbusinessPLoS ONE
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Predicting in-hospital mortality from Coronavirus Disease 2019: A simple validated app for clinical use

2021

Backgrounds Validated tools for predicting individual in-hospital mortality of COVID-19 are lacking. We aimed to develop and to validate a simple clinical prediction rule for early identification of in-hospital mortality of patients with COVID-19. Methods and findings We enrolled 2191 consecutive hospitalized patients with COVID-19 from three Italian dedicated units (derivation cohort: 1810 consecutive patients from Bergamo and Pavia units; validation cohort: 381 consecutive patients from Rome unit). The outcome was in-hospital mortality. Fine and Gray competing risks multivariate model (with discharge as a competing event) was used to develop a prediction rule for in-hospital mortality. D…

MaleViral DiseasesEpidemiologyClinical prediction ruleCardiovascular MedicineVascular MedicineSteroid TherapyChronic Liver DiseaseCohort StudiesMedical ConditionsEndocrinologyRetrospective StudieRisk FactorsMedicine and Health Sciences80 and overCoronary Heart DiseaseHospital MortalityAged 80 and overMultidisciplinaryPharmaceuticsLiver DiseasesQHazard ratioRMiddle AgedMobile ApplicationsHospitalsHospitalizationInfectious DiseasesBrier scoreItalyCardiovascular DiseasesMedicineFemaleHumanResearch ArticleCohort studyAdultmedicine.medical_specialtyEndocrine DisordersCorticosteroid TherapyScienceSettore MED/12 - GASTROENTEROLOGIAMobile ApplicationCardiologyGastroenterology and HepatologyRisk AssessmentDrug TherapyInternal medicineDiabetes MellitusmedicineHumansAgedRetrospective StudiesReceiver operating characteristicbusiness.industrySARS-CoV-2Risk FactorSettore MED/09 - MEDICINA INTERNACOVID-19Covid 19Retrospective cohort studyCardiovascular Disease RiskTriageConfidence intervalHealth CareROC CurveHealth Care FacilitiesMedical Risk FactorsMetabolic DisordersCohort Studiebusiness
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Watching TV has a distinct sociodemographic and lifestyle profile compared with other sedentary behaviors: A nationwide population-based study

2017

Watching TV has been consistently associated with higher risk of adverse health outcomes, but the effect of other sedentary behaviors (SB) is uncertain. Potential explanations are that watching TV is not a marker of a broader sedentary pattern and that each SB reflects different sociodemographic and health characteristics. Data were taken form a survey on 10,199 individuals, representative of the Spanish population aged 18 years. SB and other health behaviors were ascertained using validated questionnaires. Watching TV was the predominant SB (45.4% of the total sitting time), followed by sitting at the computer (22.7%). TV watching time showed no correlation with total time on other SB (r: …

MaleYounger ageEconomicslcsh:MedicineSocial Sciences030204 cardiovascular system & hematologyWatching TVGeographical locations0302 clinical medicineEndocrinologySociologySedentary patternMedicine and Health SciencesPublic and Occupational Health030212 general & internal medicineYoung adultlcsh:ScienceMultidisciplinaryGeographyMiddle AgedEuropeLifestyle profilePopulation SurveillanceFemaleTelevisionPsychologyBehavioral and Social Aspects of HealthResearch ArticleAdultEmploymentAdverse healthAdolescentEndocrine DisordersMedicinaHealth outcomesSittingHuman GeographyEducation03 medical and health sciencesYoung AdultDiabetes MellitusHumansEuropean UnionMale genderEducational AttainmentSedentary lifestyleAgedDemographyNutritionlcsh:RBiology and Life SciencesPhysical ActivityDietPopulation based studySpanish populationSocial ClassSpainLabor EconomicsMetabolic DisordersEarth SciencesHuman Mobilitylcsh:QSedentary BehaviorPeople and placesDemography
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Associations of alcohol consumption and physical activity with lean type 2 diabetes mellitus among Korean adults: A prospective cohort study.

2020

Data on the association between alcohol consumption and the risk of type 2 diabetes mellitus (T2DM) have accumulated, but little has been reported about this association in terms of lean T2DM. The present study analyzed 10-year longitudinal data to investigate the association between alcohol consumption and T2DM risk among lean individuals. This prospective study included 2,366 male and female Koreans aged 40-69 years who were free of DM and had a body mass index (BMI) 60g/day among alcohol drinkers. No protective effect of moderate alcohol consumption <16 g/day on T2DM risk was observed. Age, parental history of DM, and physical inactivity were also significant risk factors for lean T2DM. …

Maleendocrine system diseasesEpidemiologyPhysiologyAlcoholType 2 diabetesBody Mass Indexchemistry.chemical_compound0302 clinical medicineEndocrinologyMedical ConditionsMedicine and Health SciencesPublic and Occupational Health030212 general & internal medicineProspective StudiesProspective cohort studySex CharacteristicsMultidisciplinaryAlcohol ConsumptionIncidenceQRMiddle AgedType 2 DiabetesPhysiological ParametersMedicineFemaleType 2 Diabetes RiskAlcohol consumptionResearch ArticleAdultAlcohol DrinkingEndocrine DisordersScience030209 endocrinology & metabolism03 medical and health sciencesThinnessDiabetes mellitusEnvironmental healthRepublic of KoreamedicineDiabetes MellitusHumansObesityExerciseAgedNutritionbusiness.industryBody WeightType 2 Diabetes Mellitusnutritional and metabolic diseasesBiology and Life SciencesPhysical Activitymedicine.diseaseObesityDietchemistryDiabetes Mellitus Type 2Metabolic DisordersMedical Risk FactorsbusinessBody mass indexFollow-Up StudiesPloS one
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Socio-demographic, health-related, and individual correlates of diagnostic self-testing by lay people: Results from a representative survey in Germany

2017

Introduction A broad range of self-tests (testing for e.g. HIV, cancer, hepatitis B/C) have become available and can be conducted by lay consumers without the help of a health professional. The aims of this study were to (a) investigate the prevalence of self-testing, (b) identify the most frequently used self-tests, and (c) explore the associations between socio-demographic, health-related and individual factors with self-testing. Methods A face-to-face plus paper-pencil cross-sectional survey was conducted. The sample consisted of 2.527 respondents who were representative of the German population in terms of the age, sex, and residence. Basic descriptive statistics and univariate logistic…

Malelcsh:MedicinePathology and Laboratory MedicineLogistic regressionGeographical locationsEndocrinology0302 clinical medicineSurveys and QuestionnairesGermanyDiagnosisMedicine and Health Sciences030212 general & internal medicineComputer Networkslcsh:ScienceFatigueMultidisciplinary030503 health policy & servicesAttendanceEuropeLaypersonOncologyFemaleAnatomy0305 other medical sciencePsychologyResearch ArticleAdultComputer and Information SciencesEndocrine Disorders03 medical and health sciencesSigns and SymptomsDiagnostic MedicineMental Health and PsychiatryCancer Detection and DiagnosisDiabetes MellitusHumansEuropean UnionDemographyColorectal CancerInternetDescriptive statisticslcsh:RUnivariateCancers and NeoplasmsBiology and Life SciencesLife satisfactionKidneysRenal SystemSelf CareSocial ClassMetabolic Disorderslcsh:QResidencePeople and placesRural areaDemographyPLOS ONE
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Predicting trajectories of recovery in prostate cancer patients undergone Robot-Assisted Radical Prostatectomy (RARP)

2019

ObjectiveTo identify trends of patients' urinary and sexual dysfunctions from a clinical and psychological perspective and understand whether sociodemographic and medical predictors could differentiate among patients following different one-year longitudinal trajectories.MethodsAn Italian sample of 478 prostate cancer patients undergone Robot-Assisted Radical Prostatectomy completed the EPIC-26 survey between July 2015 and July 2016 at the pre-hospitalization (T0), 45 days (T1) and 3 (T2), 6 (T3), 9 (T4), and 12 months (T5) after surgery. Sociodemographic and clinical characteristics (age, BMI, diabetes, nerve-sparing procedure) were also collected. Latent Class Growth Analysis was conducte…

Malemedicine.medical_treatmentCancer Treatment030232 urology & nephrologyUrinary incontinenceProstate cancerPostoperative ComplicationsEndocrinology0302 clinical medicineErectile DysfunctionRobotic Surgical ProceduresQuality of lifeMedicine and Health SciencesrecoveyReproductive System ProceduresMultidisciplinaryProstatectomyProstate CancerQProstate DiseasesRRadical ProstatectomyTreatment OutcomeItalyOncology030220 oncology & carcinogenesisMedicinemedicine.symptomResearch Articlemedicine.medical_specialtySexual DysfunctionEndocrine DisordersUrologyScienceUrinary systemSurgical and Invasive Medical ProceduresAffect (psychology)03 medical and health sciencesDiabetes MellitusmedicineHumansProstatectomyIncontinenceSurgical ExcisionGeriatric Urologybusiness.industryCancers and Neoplasmsmedicine.diseaseGenitourinary Tract TumorsUrinary IncontinenceSexual dysfunctionSocioeconomic FactorsGeriatricsMetabolic DisordersQuality of LifePhysical therapybusinessSexual functionPLOS ONE
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Low physical activity and its association with diabetes and other cardiovascular risk factors: a nationwide, population-based study

2016

Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM; ISCIII Ministerio de Ciencia e Innovacion); Ministerio de Sanidad y Consumo; Spanish Diabetes Society (SED)

QuestionnairesMaleDislipidemiasCross-sectional studyEstudios transversalesEspañaObesidadÍndice de masa corporalBiochemistryBody Mass Index0302 clinical medicineEndocrinology:Phenomena and Processes::Musculoskeletal and Neural Physiological Phenomena::Musculoskeletal Physiological Phenomena::Musculoskeletal Physiological Processes::Movement::Motor Activity [Medical Subject Headings]Public and Occupational Healthlcsh:Science:Phenomena and Processes::Physiological Phenomena::Nutritional Physiological Phenomena::Diet::Diet Mediterranean [Medical Subject Headings]:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::Vital Statistics::Morbidity::Prevalence [Medical Subject Headings]:Chemicals and Drugs::Lipids::Glycerides::Triglycerides [Medical Subject Headings]:Geographicals::Geographic Locations::Europe::Spain [Medical Subject Headings]Aged 80 and overDiabetis:Diseases::Nutritional and Metabolic Diseases::Metabolic Diseases::Lipid Metabolism Disorders::Dyslipidemias [Medical Subject Headings]:Phenomena and Processes::Physiological Phenomena::Body Constitution::Body Weights and Measures::Body Size::Body Weight::Overweight::Obesity::Obesity Abdominal [Medical Subject Headings]Cardiovascular DiseasesObesitatEnfermedades cardiovascularesFactores de riesgomedicine.medical_specialtyEndocrine Disorders:Chemicals and Drugs::Lipids::Lipoproteins::Lipoproteins HDL::Cholesterol HDL [Medical Subject Headings]:Psychiatry and Psychology::Behavior and Behavior Mechanisms::Behavior::Habits::Smoking [Medical Subject Headings]QüestionarisTriglicéridosExercici -- Aspectes sanitaris03 medical and health sciencesDiabetes MellitusHumans:Diseases::Cardiovascular Diseases [Medical Subject Headings]ExerciseAgedSurvey ResearchMalalties cardiovascularsPreventionlcsh:REnfermedad crónicaBiology and Life SciencesPhysical ActivityInsulin-resistancemedicine.diseaseActividad motoraObesityLipid metabolismCross-Sectional StudiesDyslipidemiaAdherenceGlucosalcsh:QBody mass indexDyslipidemiaDemography:Psychiatry and Psychology::Behavior and Behavior Mechanisms::Psychology Social::Life Style::Sedentary Lifestyle [Medical Subject Headings]PhysiologyPhysical fitnessSistema cardiovascular -- Malalties:Chemicals and Drugs::Carbohydrates::Monosaccharides::Hexoses::Glucose [Medical Subject Headings]lcsh:Medicine:Phenomena and Processes::Physiological Phenomena::Body Constitution::Body Weights and Measures::Body Size::Body Weight::Overweight::Obesity [Medical Subject Headings]:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Probability::Risk::Risk Factors [Medical Subject Headings]Obesidad abdominalGeographical LocationsGlucose MetabolismRisk FactorsHábito de fumarMedicine and Health SciencesPrevalence030212 general & internal medicinePrediabetes:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::Surveys and Questionnaires [Medical Subject Headings]Multidisciplinary:Diseases::Pathological Conditions Signs and Symptoms::Pathologic Processes::Disease Attributes::Chronic Disease [Medical Subject Headings]DiabetesMiddle Aged:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cross-Sectional Studies [Medical Subject Headings]EuropeEncuestas y cuestionariosPhysiological ParametersResearch DesignCarbohydrate MetabolismFemaleResearch ArticleAdultAdolescent030209 endocrinology & metabolismVida sedentariaResearch and Analysis MethodsHDL-colesterolYoung AdultSex FactorsDiabetes mellitusmedicineAdultsObesityEspanya:Diseases::Endocrine System Diseases::Diabetes Mellitus::Prediabetic State [Medical Subject Headings]Sedentary lifestylebusiness.industryEstado prediabéticoBody WeightPhysical fitnessDieta mediterráneaMetabolisme dels lípidsDietMetabolismSpainMetabolic DisordersPeople and PlacesPhysical therapySedentary BehaviorbusinessPrevalenciaCondició física
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